OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren, Kaiming He, Ross Girshick, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2016) Vol. 39, Iss. 6, pp. 1137-1149
Open Access | Times Cited: 44209

Showing 1-25 of 44209 citing articles:

Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, et al.
(2016)
Open Access | Times Cited: 185576

You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon, Santosh Divvala, Ross Girshick, et al.
(2016), pp. 779-788
Open Access | Times Cited: 37243

SSD: Single Shot MultiBox Detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, et al.
Lecture notes in computer science (2016), pp. 21-37
Closed Access | Times Cited: 29374

Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, et al.
(2017)
Closed Access | Times Cited: 23881

Feature Pyramid Networks for Object Detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, et al.
(2017)
Open Access | Times Cited: 23296

Squeeze-and-Excitation Networks
Jie Hu, Li Shen, Gang Sun
(2018)
Open Access | Times Cited: 20090

Focal Loss for Dense Object Detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, et al.
(2017)
Open Access | Times Cited: 19659

MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu, et al.
(2018), pp. 4510-4520
Open Access | Times Cited: 19587

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2017) Vol. 40, Iss. 4, pp. 834-848
Open Access | Times Cited: 18641

YOLO9000: Better, Faster, Stronger
Joseph Redmon, Ali Farhadi
(2017), pp. 6517-6525
Open Access | Times Cited: 16747

Squeeze-and-Excitation Networks
Jie Hu, Li Shen, Samuel Albanie, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2019) Vol. 42, Iss. 8, pp. 2011-2023
Open Access | Times Cited: 11452

Aggregated Residual Transformations for Deep Neural Networks
Saining Xie, Ross Girshick, Piotr Dollár, et al.
(2017)
Open Access | Times Cited: 10368

The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, et al.
(2016), pp. 3213-3223
Open Access | Times Cited: 10065

Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer, Jonathan Long, Trevor Darrell
IEEE Transactions on Pattern Analysis and Machine Intelligence (2016) Vol. 39, Iss. 4, pp. 640-651
Open Access | Times Cited: 9976

Non-local Neural Networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, et al.
(2018)
Open Access | Times Cited: 9895

Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He, Haoqi Fan, Yuxin Wu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 9230

End-to-End Object Detection with Transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, et al.
Lecture notes in computer science (2020), pp. 213-229
Closed Access | Times Cited: 9116

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
João Carreira, Andrew Zisserman
(2017)
Open Access | Times Cited: 8061

Focal Loss for Dense Object Detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2018) Vol. 42, Iss. 2, pp. 318-327
Open Access | Times Cited: 8018

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, et al.
(2018)
Open Access | Times Cited: 7342

Path Aggregation Network for Instance Segmentation
Shu Liu, Lu Qi, Haifang Qin, et al.
(2018)
Open Access | Times Cited: 6501

Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens, et al.
(2018), pp. 8697-8710
Open Access | Times Cited: 5757

EfficientDet: Scalable and Efficient Object Detection
Mingxing Tan, Ruoming Pang, Quoc V. Le
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 5732

Deformable Convolutional Networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong, et al.
(2017)
Open Access | Times Cited: 5466

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